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基于形态学重建滤波的脑部磁共振图像分割
引用本文:赵于前,桂卫华,陈真诚,李凌云.基于形态学重建滤波的脑部磁共振图像分割[J].计算机工程,2006,32(16):170-171.
作者姓名:赵于前  桂卫华  陈真诚  李凌云
作者单位:1. 中南大学信息科学与工程学院,长沙,410083;中南大学生物医学工程研究所,长沙,410083
2. 中南大学信息科学与工程学院,长沙,410083
3. 中南大学生物医学工程研究所,长沙,410083
摘    要:在阐述形态学基本原理、形态学重建滤波原理和方法的基础上,提出了形态学交变序列重建滤波,并应用于脑部磁共振图像分割。试验结果表明,该方法能有效地滤除无用的信息而保留图像原始形状不变。再应用形态学梯度运算、测地距离和流域变换方法就能准确地分割出脑部磁共振图像的头盖骨和脑膜。

关 键 词:形态学重建滤波  磁共振图像  脑部  分割
文章编号:1000-3428(2006)16-0170-02
收稿时间:2005-09-12
修稿时间:2005-09-12

Brain Magnetic Resonance Image Segmentation Based on Morphological Reconstruction Filter
ZHAO Yuqian,GUI Weihua,CHEN Zhencheng,LI Lingyun.Brain Magnetic Resonance Image Segmentation Based on Morphological Reconstruction Filter[J].Computer Engineering,2006,32(16):170-171.
Authors:ZHAO Yuqian  GUI Weihua  CHEN Zhencheng  LI Lingyun
Affiliation:1. College of Information Science and Engineering, Central South University, Changsha 410083; 2. Institute of Biomedical Engineering, Central South University, Changsha 410083
Abstract:Based on basic theories and methods of mathematical morphology and morphological reconstruction filter, morphology alternating sequential filter by reconstruction is put forward. It is applied to segment brain magnetic resonance image. The experimental results indicate that useless information in the brain magnetic resonance is filtered effectively and the original shape is left unaltered by the proposed method. After applying the morphological gradient operator, geodesic distance and watershed transformation to the processed image, the cranium and meninges of brain magnetic resonance image are segmented precisely.
Keywords:Morphological reconstruction filter  Magnetic resonance image  Brain  Segmentation
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